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            <h1>自己回帰 NLP モデルトレーナー</h1>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">11</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Callable</span>
<span class="lineno">12</span>
<span class="lineno">13</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">15</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span><span class="p">,</span> <span class="n">RandomSampler</span>
<span class="lineno">16</span>
<span class="lineno">17</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">lab</span><span class="p">,</span> <span class="n">monit</span><span class="p">,</span> <span class="n">logger</span><span class="p">,</span> <span class="n">tracker</span>
<span class="lineno">18</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">Text</span>
<span class="lineno">20</span><span class="kn">from</span> <span class="nn">labml_helpers.datasets.text</span> <span class="kn">import</span> <span class="n">TextDataset</span><span class="p">,</span> <span class="n">SequentialDataLoader</span><span class="p">,</span> <span class="n">SequentialUnBatchedDataset</span><span class="p">,</span> <span class="n">TextFileDataset</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml_helpers.device</span> <span class="kn">import</span> <span class="n">DeviceConfigs</span>
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml_helpers.metrics.accuracy</span> <span class="kn">import</span> <span class="n">Accuracy</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml_helpers.module</span> <span class="kn">import</span> <span class="n">Module</span>
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_helpers.train_valid</span> <span class="kn">import</span> <span class="n">TrainValidConfigs</span><span class="p">,</span> <span class="n">hook_model_outputs</span><span class="p">,</span> <span class="n">BatchIndex</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml_nn.optimizers.configs</span> <span class="kn">import</span> <span class="n">OptimizerConfigs</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h3>クロスエントロピー損失</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">28</span><span class="k">class</span> <span class="nc">CrossEntropyLoss</span><span class="p">(</span><span class="n">Module</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">33</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="lineno">34</span>        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
<span class="lineno">35</span>        <span class="bp">self</span><span class="o">.</span><span class="n">loss</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">37</span>    <span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">outputs</span><span class="p">,</span> <span class="n">targets</span><span class="p">):</span>
<span class="lineno">38</span>        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss</span><span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">outputs</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]),</span> <span class="n">targets</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            <p><a id="NLPAutoRegressionConfigs"></a></p>
<h2>トレーナー構成</h2>
<p>これには、NLP自己回帰タスクトレーニングの基本構成があります。すべてのプロパティは設定可能です。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">41</span><span class="k">class</span> <span class="nc">NLPAutoRegressionConfigs</span><span class="p">(</span><span class="n">TrainValidConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>オプティマイザー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">52</span>    <span class="n">optimizer</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p>トレーニングデバイス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">54</span>    <span class="n">device</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span> <span class="o">=</span> <span class="n">DeviceConfigs</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p>自己回帰モデル</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">57</span>    <span class="n">model</span><span class="p">:</span> <span class="n">Module</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            <p>テキストデータセット</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">59</span>    <span class="n">text</span><span class="p">:</span> <span class="n">TextDataset</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>バッチサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">61</span>    <span class="n">batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>シーケンスの長さ、またはコンテキストサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">63</span>    <span class="n">seq_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>ボキャブラリー内のトークンの数</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">65</span>    <span class="n">n_tokens</span><span class="p">:</span> <span class="nb">int</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>トークナイザー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">67</span>    <span class="n">tokenizer</span><span class="p">:</span> <span class="n">Callable</span> <span class="o">=</span> <span class="s1">&#39;character&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>サンプリングを開始するテキストプロンプト (説明用)</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">70</span>    <span class="n">prompt</span><span class="p">:</span> <span class="nb">str</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p>サンプリング時のトークンセパレーター (文字レベルのトークン化の場合は空白)</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">72</span>    <span class="n">prompt_separator</span><span class="p">:</span> <span class="nb">str</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <p>モデルを定期的に保存するかどうか</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">75</span>    <span class="n">is_save_models</span> <span class="o">=</span> <span class="kc">True</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            <p>損失関数</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">78</span>    <span class="n">loss_func</span> <span class="o">=</span> <span class="n">CrossEntropyLoss</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            <p>精度機能</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">80</span>    <span class="n">accuracy</span> <span class="o">=</span> <span class="n">Accuracy</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>モデル埋め込みサイズ</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">82</span>    <span class="n">d_model</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">512</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>グラデーションクリッピング</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">84</span>    <span class="n">grad_norm_clip</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>トレーニングデータローダー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">87</span>    <span class="n">train_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;shuffled_train_loader&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>検証データローダー</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">89</span>    <span class="n">valid_loader</span><span class="p">:</span> <span class="n">DataLoader</span> <span class="o">=</span> <span class="s1">&#39;shuffled_valid_loader&#39;</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>データローダーは交換時にシャッフルされます</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">92</span>    <span class="n">dataloader_shuffle_with_replacement</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p>モデルパラメーターと勾配を記録するかどうか (エポックごとに 1 回)。これらはレイヤーごとの統計情報をまとめたものですが、それでも非常に深いネットワークの多くの指標につながる可能性があります</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">97</span>    <span class="n">is_log_model_params_grads</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-24'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-24'>#</a>
            </div>
            <p>モデルのアクティベーションをログに記録するかどうか (エポックごとに 1 回)。これらはレイヤーごとの統計情報をまとめたものですが、それでも非常に深いネットワークの多くの指標につながる可能性があります</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">102</span>    <span class="n">is_log_model_activations</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-25'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-25'>#</a>
            </div>
            <h3>初期化</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">104</span>    <span class="k">def</span> <span class="nf">init</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-26'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-26'>#</a>
            </div>
            <p>トラッカー構成を設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">109</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;accuracy.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="lineno">110</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_scalar</span><span class="p">(</span><span class="s2">&quot;loss.*&quot;</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="lineno">111</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">set_text</span><span class="p">(</span><span class="s2">&quot;sampled&quot;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-27'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-27'>#</a>
            </div>
            <p>モジュール出力をログに記録するフックを追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">113</span>        <span class="n">hook_model_outputs</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;model&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-28'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-28'>#</a>
            </div>
            <p>ステートモジュールとして精度を追加してください。この名前は、RNN のトレーニングと検証の間の状態を保存するためのものなので、おそらくわかりにくいでしょう。これにより、精度指標の統計情報がトレーニング用と検証用に別々に保持されます。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">118</span>        <span class="bp">self</span><span class="o">.</span><span class="n">state_modules</span> <span class="o">=</span> <span class="p">[</span><span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-29'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-29'>#</a>
            </div>
            <p>オーバーライドして他の指標を計算して記録する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">120</span>    <span class="k">def</span> <span class="nf">other_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">,</span> <span class="n">target</span><span class="p">:</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-30'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-30'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">122</span>        <span class="k">pass</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-31'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-31'>#</a>
            </div>
            <h3>トレーニングまたは検証ステップ</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">124</span>    <span class="k">def</span> <span class="nf">step</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">batch</span><span class="p">:</span> <span class="nb">any</span><span class="p">,</span> <span class="n">batch_idx</span><span class="p">:</span> <span class="n">BatchIndex</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-32'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-32'>#</a>
            </div>
            <p>トレーニング/評価モードの設定</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">130</span>        <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-33'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-33'>#</a>
            </div>
            <p>データをデバイスに移動</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">133</span>        <span class="n">data</span><span class="p">,</span> <span class="n">target</span> <span class="o">=</span> <span class="n">batch</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">),</span> <span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-34'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-34'>#</a>
            </div>
            <p>トレーニングモード時にグローバルステップ (処理されたトークンの数) を更新</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">136</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span>
<span class="lineno">137</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">add_global_step</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">*</span> <span class="n">data</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-35'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-35'>#</a>
            </div>
            <p>モデル出力をキャプチャするかどうか</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">140</span>        <span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">is_log_activations</span><span class="o">=</span><span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_log_model_activations</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-36'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-36'>#</a>
            </div>
            <p>モデル出力を取得します。RNN を使用する場合はステートのタプルを返します。これはまだ実装されていません。😜</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">144</span>            <span class="n">output</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-37'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-37'>#</a>
            </div>
            <p>損失の計算と記録</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">147</span>        <span class="n">loss</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">loss_func</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">148</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s2">&quot;loss.&quot;</span><span class="p">,</span> <span class="n">loss</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-38'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-38'>#</a>
            </div>
            <p>精度の計算と記録</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">151</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="lineno">152</span>        <span class="bp">self</span><span class="o">.</span><span class="n">accuracy</span><span class="o">.</span><span class="n">track</span><span class="p">()</span>
<span class="lineno">153</span>
<span class="lineno">154</span>        <span class="bp">self</span><span class="o">.</span><span class="n">other_metrics</span><span class="p">(</span><span class="n">output</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-39'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-39'>#</a>
            </div>
            <p>モデルのトレーニング</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">157</span>        <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="o">.</span><span class="n">is_train</span><span class="p">:</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-40'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-40'>#</a>
            </div>
            <p>勾配の計算</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">159</span>            <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-41'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-41'>#</a>
            </div>
            <p>クリップグラデーション</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">161</span>            <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">utils</span><span class="o">.</span><span class="n">clip_grad_norm_</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">max_norm</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">grad_norm_clip</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-42'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-42'>#</a>
            </div>
            <p>最適化の一歩を踏み出す</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">163</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-43'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-43'>#</a>
            </div>
            <p>各エポックの最後のバッチでモデルパラメータと勾配を記録します</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">165</span>            <span class="k">if</span> <span class="n">batch_idx</span><span class="o">.</span><span class="n">is_last</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">is_log_model_params_grads</span><span class="p">:</span>
<span class="lineno">166</span>                <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="s1">&#39;model&#39;</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-44'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-44'>#</a>
            </div>
            <p>グラデーションをクリア</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">168</span>            <span class="bp">self</span><span class="o">.</span><span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-45'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-45'>#</a>
            </div>
            <p>追跡したメトリクスを保存する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">171</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">save</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-46'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-46'>#</a>
            </div>
            <h3>トレーニング中に定期的にサンプルを生成するサンプリング機能</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">173</span>    <span class="k">def</span> <span class="nf">sample</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-47'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-47'>#</a>
            </div>
            <p>起動プロンプト</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">179</span>        <span class="n">prompt</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prompt</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-48'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-48'>#</a>
            </div>
            <p>印刷用の出力を収集</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">181</span>        <span class="n">log</span> <span class="o">=</span> <span class="p">[(</span><span class="n">prompt</span><span class="p">,</span> <span class="n">Text</span><span class="o">.</span><span class="n">subtle</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-49'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-49'>#</a>
            </div>
            <p>25トークンのサンプル</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">183</span>        <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">iterate</span><span class="p">(</span><span class="s1">&#39;Sample&#39;</span><span class="p">,</span> <span class="mi">25</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-50'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-50'>#</a>
            </div>
            <p>プロンプトをトークン化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">185</span>            <span class="n">data</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">text_to_i</span><span class="p">(</span><span class="n">prompt</span><span class="p">)</span><span class="o">.</span><span class="n">unsqueeze</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span>
<span class="lineno">186</span>            <span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">device</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-51'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-51'>#</a>
            </div>
            <p>モデル出力を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">188</span>            <span class="n">output</span><span class="p">,</span> <span class="o">*</span><span class="n">_</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">model</span><span class="p">(</span><span class="n">data</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-52'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-52'>#</a>
            </div>
            <p>モデル予測を取得 (欲張り)</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">190</span>            <span class="n">output</span> <span class="o">=</span> <span class="n">output</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">squeeze</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-53'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-53'>#</a>
            </div>
            <p>予測をプロンプトに追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">192</span>            <span class="n">prompt</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prompt_separator</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">output</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-54'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-54'>#</a>
            </div>
            <p>ロギング用の予測を追加</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">194</span>            <span class="n">log</span> <span class="o">+=</span> <span class="p">[(</span><span class="bp">self</span><span class="o">.</span><span class="n">prompt_separator</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">itos</span><span class="p">[</span><span class="n">output</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">]],</span> <span class="n">Text</span><span class="o">.</span><span class="n">value</span><span class="p">)]</span>
<span class="lineno">195</span>
<span class="lineno">196</span>        <span class="n">tracker</span><span class="o">.</span><span class="n">add</span><span class="p">({</span><span class="s1">&#39;sampled&#39;</span><span class="p">:</span> <span class="n">prompt</span><span class="p">})</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-55'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-55'>#</a>
            </div>
            <p>サンプル出力を印刷する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">198</span>        <span class="n">logger</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">log</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-56'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-56'>#</a>
            </div>
            <h3><a href="../optimizers/configs.html">デフォルトのオプティマイザー構成</a></h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">201</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">optimizer</span><span class="p">)</span>
<span class="lineno">202</span><span class="k">def</span> <span class="nf">_optimizer</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-57'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-57'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">207</span>    <span class="n">optimizer</span> <span class="o">=</span> <span class="n">OptimizerConfigs</span><span class="p">()</span>
<span class="lineno">208</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">parameters</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">()</span>
<span class="lineno">209</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">optimizer</span> <span class="o">=</span> <span class="s1">&#39;Adam&#39;</span>
<span class="lineno">210</span>    <span class="n">optimizer</span><span class="o">.</span><span class="n">d_model</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">d_model</span>
<span class="lineno">211</span>
<span class="lineno">212</span>    <span class="k">return</span> <span class="n">optimizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-58'>
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            <p>トークンの数を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">215</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">n_tokens</span><span class="p">)</span>
<span class="lineno">216</span><span class="k">def</span> <span class="nf">_n_tokens</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
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    </div>
    <div class='section' id='section-59'>
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            </div>
            
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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">220</span>    <span class="k">return</span> <span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">n_tokens</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-60'>
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            </div>
            <h3>ベーシック・イングリッシュ・トークナイザー</h3>
<p>この実験では、キャラクターレベルのトークナイザーを使用します。設定で切り替えることができますが、</p>
<pre  class="highlight lang-"><code><span></span><span class="s1">&#39;tokenizer&#39;</span><span class="p">:</span> <span class="s1">&#39;basic_english&#39;</span><span class="p">,</span></code></pre>
<p>実験を開始するときに構成辞書にあります。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">223</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">224</span><span class="k">def</span> <span class="nf">basic_english</span><span class="p">():</span></pre></div>
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    <div class='section' id='section-61'>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">238</span>    <span class="kn">from</span> <span class="nn">torchtext.data</span> <span class="kn">import</span> <span class="n">get_tokenizer</span>
<span class="lineno">239</span>    <span class="k">return</span> <span class="n">get_tokenizer</span><span class="p">(</span><span class="s1">&#39;basic_english&#39;</span><span class="p">)</span></pre></div>
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    </div>
    <div class='section' id='section-62'>
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            <h3>キャラクターレベルトークナイザー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">242</span><span class="k">def</span> <span class="nf">character_tokenizer</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span></pre></div>
        </div>
    </div>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">246</span>    <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">x</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-64'>
        <div class='docs doc-strings'>
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            <h3>キャラクターレベルのトークナイザー設定</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">249</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">)</span>
<span class="lineno">250</span><span class="k">def</span> <span class="nf">character</span><span class="p">():</span></pre></div>
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            <div class="highlight"><pre><span class="lineno">254</span>    <span class="k">return</span> <span class="n">character_tokenizer</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-66'>
        <div class='docs doc-strings'>
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            </div>
            <h3>小さなシェイクスピアデータセット</h3>
<p>存在しない場合は URL からダウンロードします</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">257</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">text</span><span class="p">)</span>
<span class="lineno">258</span><span class="k">def</span> <span class="nf">tiny_shakespeare</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
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    </div>
    <div class='section' id='section-67'>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">264</span>    <span class="k">return</span> <span class="n">TextFileDataset</span><span class="p">(</span>
<span class="lineno">265</span>        <span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;tiny_shakespeare.txt&#39;</span><span class="p">,</span>
<span class="lineno">266</span>        <span class="n">c</span><span class="o">.</span><span class="n">tokenizer</span><span class="p">,</span>
<span class="lineno">267</span>        <span class="n">url</span><span class="o">=</span><span class="s1">&#39;https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt&#39;</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-68'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-68'>#</a>
            </div>
            <h3>シーケンシャルトレーニングデータローダー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">270</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
<span class="lineno">271</span><span class="k">def</span> <span class="nf">sequential_train_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-69'>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">275</span>    <span class="k">return</span> <span class="n">SequentialDataLoader</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">train</span><span class="p">,</span>
<span class="lineno">276</span>                                <span class="n">dataset</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="p">,</span>
<span class="lineno">277</span>                                <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">278</span>                                <span class="n">seq_len</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-70'>
        <div class='docs doc-strings'>
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            </div>
            <h3>シーケンシャル検証データローダー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">281</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">)</span>
<span class="lineno">282</span><span class="k">def</span> <span class="nf">sequential_valid_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-71'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-71'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">286</span>    <span class="k">return</span> <span class="n">SequentialDataLoader</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">valid</span><span class="p">,</span>
<span class="lineno">287</span>                                <span class="n">dataset</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="p">,</span>
<span class="lineno">288</span>                                <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">289</span>                                <span class="n">seq_len</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-72'>
        <div class='docs doc-strings'>
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            </div>
            <h3>トランスポーズバッチ</h3>
<p><code  class="highlight"><span></span><span class="n">DataLoader</span></code>
第 1 次元のバッチを収集します。最初にシーケンスになるようにトランスポーズする必要があります</p>。

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">292</span><span class="k">def</span> <span class="nf">transpose_batch</span><span class="p">(</span><span class="n">batch</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-73'>
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            <div class='section-link'>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">300</span>    <span class="n">transposed_data</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="nb">zip</span><span class="p">(</span><span class="o">*</span><span class="n">batch</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-74'>
        <div class='docs'>
            <div class='section-link'>
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            </div>
            <p>2 番目の次元に沿ってバッチを積み重ねる <code  class="highlight"><span></span><span class="n">dim</span><span class="o">=</span><span class="mi">1</span></code>
</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">302</span>    <span class="n">src</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">transposed_data</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="lineno">303</span>    <span class="n">tgt</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">stack</span><span class="p">(</span><span class="n">transposed_data</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="lineno">304</span>
<span class="lineno">305</span>    <span class="k">return</span> <span class="n">src</span><span class="p">,</span> <span class="n">tgt</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-75'>
        <div class='docs doc-strings'>
            <div class='section-link'>
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            </div>
            <h3>シャッフルされたトレーニングデータローダー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">308</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
<span class="lineno">309</span><span class="k">def</span> <span class="nf">shuffled_train_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-76'>
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        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">313</span>    <span class="n">dataset</span> <span class="o">=</span> <span class="n">SequentialUnBatchedDataset</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">train</span><span class="p">,</span>
<span class="lineno">314</span>                                         <span class="n">dataset</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="p">,</span>
<span class="lineno">315</span>                                         <span class="n">seq_len</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">)</span>
<span class="lineno">316</span>    <span class="n">sampler</span> <span class="o">=</span> <span class="n">RandomSampler</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">replacement</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dataloader_shuffle_with_replacement</span><span class="p">)</span>
<span class="lineno">317</span>
<span class="lineno">318</span>    <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span>
<span class="lineno">319</span>                      <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">320</span>                      <span class="n">collate_fn</span><span class="o">=</span><span class="n">transpose_batch</span><span class="p">,</span>
<span class="lineno">321</span>                      <span class="n">sampler</span><span class="o">=</span><span class="n">sampler</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-77'>
        <div class='docs doc-strings'>
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                <a href='#section-77'>#</a>
            </div>
            <h3>シャッフルされた検証データローダー</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">324</span><span class="nd">@option</span><span class="p">(</span><span class="n">NLPAutoRegressionConfigs</span><span class="o">.</span><span class="n">valid_loader</span><span class="p">)</span>
<span class="lineno">325</span><span class="k">def</span> <span class="nf">shuffled_valid_loader</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">NLPAutoRegressionConfigs</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-78'>
        <div class='docs'>
            <div class='section-link'>
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            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">329</span>    <span class="n">dataset</span> <span class="o">=</span> <span class="n">SequentialUnBatchedDataset</span><span class="p">(</span><span class="n">text</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="o">.</span><span class="n">valid</span><span class="p">,</span>
<span class="lineno">330</span>                                         <span class="n">dataset</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">text</span><span class="p">,</span>
<span class="lineno">331</span>                                         <span class="n">seq_len</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">seq_len</span><span class="p">)</span>
<span class="lineno">332</span>    <span class="n">sampler</span> <span class="o">=</span> <span class="n">RandomSampler</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">replacement</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dataloader_shuffle_with_replacement</span><span class="p">)</span>
<span class="lineno">333</span>
<span class="lineno">334</span>    <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span>
<span class="lineno">335</span>                      <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">336</span>                      <span class="n">collate_fn</span><span class="o">=</span><span class="n">transpose_batch</span><span class="p">,</span>
<span class="lineno">337</span>                      <span class="n">sampler</span><span class="o">=</span><span class="n">sampler</span><span class="p">)</span></pre></div>
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